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Collaborative eye tracking: a potential training tool in laparoscopic surgery.

Andrew S A Chetwood1, Ka-Wai Kwok, Loi-Wah Sun

  • 1Hamlyn Centre for Robotic Surgery, Institute of Global Health Innovation, Imperial College, London, UK. Andrewchetwood@doctors.org.uk

Surgical Endoscopy
|January 20, 2012
PubMed
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Supervisor eye-gaze projection onto a trainee's laparoscopic screen significantly improves surgical simulation task performance. This novel eye-tracking tool reduces errors and task completion times, aiding instruction for diverse surgical teams.

Area of Science:

  • Medical Simulation and Training
  • Surgical Technology
  • Human-Computer Interaction

Background:

  • Eye-tracking technology enhances trainee performance across various fields, including surgery.
  • Projecting supervisor's point-of-regard onto a trainee's laparoscopic screen offers a novel instructional method.
  • This approach is particularly relevant for multilingual surgical teams and collaborative techniques.

Purpose of the Study:

  • To develop an interface for projecting supervisor eye-gaze onto a trainee's laparoscopic screen.
  • To investigate the efficacy of supervisor eye-gaze as a tool for target identification in simulated surgical tasks.

Main Methods:

  • Developed custom software to project supervisor's point-of-regard onto laparoscopic screens.
  • Twenty-eight subjects with varied experience and English proficiency performed simulated laparoscopic tasks.

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  • Instruction methods included verbal cues (V), supervisor eye-gaze cursor (E), or both (VE).

    • Main Results:

    • Significantly reduced task completion times and error rates when using eye-gaze instruction (VE, E).
    • Significantly decreased the time for subjects to focus on the target (latency).
    • Demonstrated the effectiveness of eye-gaze projection in improving performance metrics.

    Conclusions:

    • Successfully developed and validated a framework for projecting supervisor eye-gaze in laparoscopic simulations.
    • Eye-tracking visual instruction demonstrably enhances performance, reducing completion times and errors.
    • This technology holds significant potential for surgical training despite requiring further development.